From 166d8f2abad2bd1cd72419c3b0c58fbbdef642a5 Mon Sep 17 00:00:00 2001 From: majidr Date: Mon, 10 Jun 2024 22:46:36 -0400 Subject: [PATCH] fix: removing road nodes without connections --- DistrictHeatingNetworkCreator.py | 143 +- input_files/buildings.geojson | 54272 +---------------------------- input_files/output_roads.geojson | 2 +- main.py | 5 +- 4 files changed, 1467 insertions(+), 52955 deletions(-) diff --git a/DistrictHeatingNetworkCreator.py b/DistrictHeatingNetworkCreator.py index 9959c97..34a1e21 100644 --- a/DistrictHeatingNetworkCreator.py +++ b/DistrictHeatingNetworkCreator.py @@ -2,10 +2,12 @@ import json import matplotlib.pyplot as plt from shapely.geometry import Polygon, Point, LineString import networkx as nx +from typing import List, Tuple +from rtree import index class DistrictHeatingNetworkCreator: - def __init__(self, buildings_file, roads_file): + def __init__(self, buildings_file: str, roads_file: str): """ Initialize the class with paths to the buildings and roads data files. @@ -15,7 +17,7 @@ class DistrictHeatingNetworkCreator: self.buildings_file = buildings_file self.roads_file = roads_file - def run(self): + def run(self) -> nx.Graph: """ Main method to execute the district heating network creation process. :return: NetworkX graph with nodes and edges representing the network. @@ -27,6 +29,7 @@ class DistrictHeatingNetworkCreator: self._create_graph() self._create_mst() self._iteratively_remove_edges() + self.add_centroids_to_mst() # Add centroids to the MST return self.final_mst def _load_and_process_data(self): @@ -37,16 +40,15 @@ class DistrictHeatingNetworkCreator: with open(self.buildings_file, 'r') as file: city = json.load(file) - # Extract centroids and building IDs from building data self.centroids = [] - self.building_ids = [] # List to store building IDs + self.building_ids = [] buildings = city['features'] for building in buildings: coordinates = building['geometry']['coordinates'][0] building_polygon = Polygon(coordinates) centroid = building_polygon.centroid self.centroids.append(centroid) - self.building_ids.append(building['id']) # Extract building ID + self.building_ids.append(building['id']) # Load road data with open(self.roads_file, 'r') as file: @@ -54,18 +56,8 @@ class DistrictHeatingNetworkCreator: line_features = [feature for feature in roads['features'] if feature['geometry']['type'] == 'LineString'] - # Create a list of LineString objects and their properties - self.lines = [] - for feature in line_features: - # Create a LineString from coordinates - linestring = LineString(feature['geometry']['coordinates']) - self.lines.append(linestring) - - self.cleaned_lines = [] - for line in self.lines: - coords = list(line.coords) - cleaned_line = LineString([coords[0], coords[-1]]) - self.cleaned_lines.append(cleaned_line) + self.lines = [LineString(feature['geometry']['coordinates']) for feature in line_features] + self.cleaned_lines = [LineString([line.coords[0], line.coords[-1]]) for line in self.lines] def _find_nearest_roads(self): """ @@ -74,20 +66,21 @@ class DistrictHeatingNetworkCreator: self.closest_roads = [] unique_roads_set = set() - # Loop through each centroid - for centroid in self.centroids: - min_distance = float('inf') # Start with a large number to ensure any real distance is smaller - closest_road = None + # Create spatial index for roads + idx = index.Index() + for pos, line in enumerate(self.cleaned_lines): + idx.insert(pos, line.bounds) - # Loop through each road and calculate the distance to the current centroid - for line in self.cleaned_lines: - distance = line.distance(centroid) - # Check if the current road is closer than the ones previously checked + for centroid in self.centroids: + min_distance = float('inf') + closest_road = None + for pos in idx.nearest(centroid.bounds, 10): + road = self.cleaned_lines[pos] + distance = road.distance(centroid) if distance < min_distance: min_distance = distance - closest_road = line + closest_road = road - # Add the closest road to the list if it's not already added if closest_road and closest_road.wkt not in unique_roads_set: unique_roads_set.add(closest_road.wkt) self.closest_roads.append(closest_road) @@ -96,14 +89,11 @@ class DistrictHeatingNetworkCreator: """ Find the nearest point on each closest road for each centroid. """ - def find_nearest_point_on_line(point, line): + def find_nearest_point_on_line(point: Point, line: LineString) -> Point: return line.interpolate(line.project(point)) self.nearest_points = [] - - # Find the nearest point on each closest road for each centroid for centroid in self.centroids: - # Find the closest road for this centroid min_distance = float('inf') closest_road = None for road in self.closest_roads: @@ -112,7 +102,6 @@ class DistrictHeatingNetworkCreator: min_distance = distance closest_road = road - # Find the nearest point on the closest road if closest_road: nearest_point = find_nearest_point_on_line(centroid, closest_road) self.nearest_points.append(nearest_point) @@ -121,27 +110,19 @@ class DistrictHeatingNetworkCreator: """ Break down roads into segments connecting nearest points. """ - - def break_down_roads(closest_roads, nearest_points_list): + def break_down_roads(closest_roads: List[LineString], nearest_points_list: List[Point]) -> List[LineString]: new_segments = [] for road in closest_roads: - # Get coordinates of the road coords = list(road.coords) - # Find all nearest points for this road points_on_road = [point for point in nearest_points_list if road.distance(point) < 0.000000001] - # Sort nearest points along the road sorted_points = sorted(points_on_road, key=lambda point: road.project(point)) - # Add the start node to the sorted points sorted_points.insert(0, Point(coords[0])) - # Add the end node to the sorted points sorted_points.append(Point(coords[-1])) - # Create new segments for i in range(len(sorted_points) - 1): segment = LineString([sorted_points[i], sorted_points[i + 1]]) new_segments.append(segment) return new_segments - # Create new segments self.new_segments = break_down_roads(self.closest_roads, self.nearest_points) self.cleaned_lines = [line for line in self.cleaned_lines if line not in self.closest_roads] self.cleaned_lines.extend(self.new_segments) @@ -151,8 +132,6 @@ class DistrictHeatingNetworkCreator: Create a NetworkX graph from the cleaned lines. """ self.G = nx.Graph() - - # Add edges to the graph from the cleaned lines for line in self.cleaned_lines: coords = list(line.coords) for i in range(len(coords) - 1): @@ -162,8 +141,7 @@ class DistrictHeatingNetworkCreator: """ Create a Minimum Spanning Tree (MST) from the graph. """ - - def find_paths_between_nearest_points(g, nearest_points): + def find_paths_between_nearest_points(g: nx.Graph, nearest_points: List[Point]) -> List[Tuple]: edges = [] for i, start_point in enumerate(nearest_points): start = (start_point.x, start_point.y) @@ -175,51 +153,89 @@ class DistrictHeatingNetworkCreator: edges.extend((u, v, g[u][v]['weight']) for u, v in path_edges) return edges - # Find the edges used to connect the nearest points edges = find_paths_between_nearest_points(self.G, self.nearest_points) - - # Create a graph from these edges h = nx.Graph() h.add_weighted_edges_from(edges) - - # Compute the Minimum Spanning Tree (MST) using Kruskal's algorithm mst = nx.minimum_spanning_tree(h, weight='weight') - - # Perform pathfinding again on the MST to ensure shortest paths within the MST final_edges = [] for u, v in mst.edges(): if nx.has_path(self.G, u, v): path = nx.shortest_path(self.G, source=u, target=v, weight='weight') path_edges = list(zip(path[:-1], path[1:])) final_edges.extend((x, y, self.G[x][y]['weight']) for x, y in path_edges) - - # Create the final MST graph with these edges self.final_mst = nx.Graph() self.final_mst.add_weighted_edges_from(final_edges) def _iteratively_remove_edges(self): """ Iteratively remove edges that do not have any nearest points and have one end with only one connection. - Also remove nodes that don't have any connections. + Also remove nodes that don't have any connections and street nodes with only one connection. """ nearest_points_tuples = [(point.x, point.y) for point in self.nearest_points] - def find_edges_to_remove(graph): + def find_edges_to_remove(graph: nx.Graph) -> List[Tuple]: edges_to_remove = [] - for u, v in graph.edges(): + for u, v, d in graph.edges(data=True): if u not in nearest_points_tuples and v not in nearest_points_tuples: if graph.degree(u) == 1 or graph.degree(v) == 1: - edges_to_remove.append((u, v)) + edges_to_remove.append((u, v, d)) return edges_to_remove - edges_to_remove = find_edges_to_remove(self.final_mst) + def find_nodes_to_remove(graph: nx.Graph) -> List[Tuple]: + nodes_to_remove = [] + for node in graph.nodes(): + if graph.degree(node) == 0: + nodes_to_remove.append(node) + return nodes_to_remove - while edges_to_remove: + edges_to_remove = find_edges_to_remove(self.final_mst) + self.final_mst_steps = [list(self.final_mst.edges(data=True))] + + while edges_to_remove or find_nodes_to_remove(self.final_mst): self.final_mst.remove_edges_from(edges_to_remove) - # Find and remove nodes with no connections - nodes_to_remove = [node for node in self.final_mst.nodes() if self.final_mst.degree(node) == 0] + nodes_to_remove = find_nodes_to_remove(self.final_mst) self.final_mst.remove_nodes_from(nodes_to_remove) edges_to_remove = find_edges_to_remove(self.final_mst) + self.final_mst_steps.append(list(self.final_mst.edges(data=True))) + + def find_single_connection_street_nodes(graph: nx.Graph) -> List[Tuple]: + single_connection_street_nodes = [] + for node in graph.nodes(): + if node not in nearest_points_tuples and graph.degree(node) == 1: + single_connection_street_nodes.append(node) + return single_connection_street_nodes + + single_connection_street_nodes = find_single_connection_street_nodes(self.final_mst) + + while single_connection_street_nodes: + for node in single_connection_street_nodes: + neighbors = list(self.final_mst.neighbors(node)) + self.final_mst.remove_node(node) + for neighbor in neighbors: + if self.final_mst.degree(neighbor) == 0: + self.final_mst.remove_node(neighbor) + single_connection_street_nodes = find_single_connection_street_nodes(self.final_mst) + self.final_mst_steps.append(list(self.final_mst.edges(data=True))) + + def add_centroids_to_mst(self): + """ + Add centroids to the final MST graph and connect them to their associated node on the graph. + """ + for centroid in self.centroids: + centroid_tuple = (centroid.x, centroid.y) + self.final_mst.add_node(centroid_tuple, type='centroid') + nearest_point = None + min_distance = float('inf') + for node in self.final_mst.nodes(): + if self.final_mst.nodes[node].get('type') != 'centroid': + node_point = Point(node) + distance = centroid.distance(node_point) + if distance < min_distance: + min_distance = distance + nearest_point = node + + if nearest_point: + self.final_mst.add_edge(centroid_tuple, nearest_point, weight=min_distance) def plot_network_graph(self): """ @@ -227,11 +243,8 @@ class DistrictHeatingNetworkCreator: """ plt.figure(figsize=(15, 10)) pos = {node: (node[0], node[1]) for node in self.final_mst.nodes()} - - # Draw nodes and edges nx.draw_networkx_nodes(self.final_mst, pos, node_color='blue', node_size=50) nx.draw_networkx_edges(self.final_mst, pos, edge_color='gray') - plt.title('District Heating Network Graph') plt.axis('off') plt.show() diff --git a/input_files/buildings.geojson b/input_files/buildings.geojson index b8cb487..c14c9aa 100644 --- a/input_files/buildings.geojson +++ b/input_files/buildings.geojson @@ -8,51 +8,79 @@ "coordinates": [ [ [ - -73.62386118706482, - 45.483293837621986 + -73.59811728033907, + 45.516463145033896 ], [ - -73.62396328801941, - 45.48319043890058 + -73.5981157805577, + 45.51646554529844 ], [ - -73.62384478725585, - 45.48313253814868 + -73.59826858053829, + 45.51651314422041 ], [ - -73.6238028863874, - 45.48317493753852 + -73.59835528181955, + 45.51637534532314 ], [ - -73.62378388750452, - 45.483165537637056 + -73.59825658107137, + 45.51630584465338 ], [ - -73.62371428727164, - 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"Montr\u00e9al", "POSITION": 5, "ODONYME": "Avenue Laurier Ouest"}}]} \ No newline at end of file diff --git a/main.py b/main.py index b393999..86809b0 100644 --- a/main.py +++ b/main.py @@ -2,15 +2,14 @@ from DistrictHeatingNetworkCreator import DistrictHeatingNetworkCreator from Scripts.road_processor import road_processor from pathlib import Path import time - +location = [45.51663850312751, -73.59854314961274] start_time = time.perf_counter() -roads_file = road_processor(-73.62785596251456, 45.4868575174825, 0.005) +roads_file = road_processor(location[1], location[0], 0.001) buildings_file = Path('./input_files/buildings.geojson').resolve() dhn_creator = DistrictHeatingNetworkCreator(buildings_file, roads_file) network_graph = dhn_creator.run() - end_time = time.perf_counter() elapsed_time = end_time - start_time